Barnuk aka Nudelholz

Barnuk aka Nudelholz — CS2 Stats

DE76561197965532309[U:1:5266581]Steam profile ↗✓ No bans

2,825Tracked matches39%Win rate2023Tracked since
3,897Hours in CS44Hrs last 2 wks
CSDB Rating5.8 SolidSupport
Premier CS Rating15,273Purple band · top ~27.3% of ranked players (population est.)
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,273 -689 31 Aug – 7 Oct · 11 days played
14,96216,935peak 16,93531 Aug7 Oct
17,067Peak Premier in tracked matches
24Days played since 2026-08-30

Premier CS Rating

  • 1,662 below peak (16,935)
  • -1,606 over 30 days · declining
  • Next: Pink band at 20,000 — 4,727 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches122——
Win rate43%——
K/D0.98——
Headshot %51%——

Measured 6 Sep 2026 → 9 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=14,773), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate39.8%46.8%48.2%8.4% short
Shot accuracy9.7%13.0%13.3%3.6% short
Kill/death ratio1.211.061.07above
Match win rate46.2%46.3%46.9%meets

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBarnuk aka NudelholzFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER15,273 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim77
Positioning59
Utility59

0–100 skill scores via Leetify.

Recent form

COLD40–50–10Last 10040%Win rateLLWLWLLLWL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −7.5pp headshot accuracy · −78ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 477ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 502ms

Last 20

  • 5–14–1 · 25% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 541ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.2 against its own average).

Aim7.7
Utility5.9
Positioning5.9
Opening Duels3.5
Clutch3.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 94% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.7
Positioning5.9
Utility5.9
Mechanics5.8
Opening Duels4.3
Win Impact1.4

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time520ms−19ms
first ⅓ avg 539ms → last ⅓ avg 520ms
Headshot accuracy20.8%−0.9%
first ⅓ avg 21.7% → last ⅓ avg 20.8%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.19Best match rating · 11–13 · vertigo, 23 Sept →
67%Best headshot accuracy · 7–13 · office, 8 Sept →
344msFastest reaction time · 13–2 · cache, 2 Sept →
13–0Biggest win · inferno, 30 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
5–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 60% over 15ancientWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
cacheC167–944%0.02
infernoB158–753%-0.01
dust2A159–660%0.00
mirageD134–931%-0.01
officeD103–730%0.01
vertigoD82–625%0.02
anubisD62–433%-0.03
ancientD50–50%-0.01
overpassD51–420%-0.01
nuke—43–175%-0.00
italy—21–150%-0.03
debris—10–10%-0.11

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

104,332Lifetime kills
1.21K/D · Top 25% of Level 8 players
5,557Matches
46.2%Match win rate
39.8%Headshot %
9.7%Shot accuracy
14,549MVPs
2,045Hours (in match)
5,068Bombs planted
1,246Bombs defused

Most-used weapons

AK-4723,856
AWP13,404
P903,798
SSG 082,542
AUG2,269

Lifetime map wins

11,232dust2
8,959inferno
2,965nuke
1,438vertigo
1,238office
1,213train
517cbble
323italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

324Matches
53%Win rate
1.05Avg K/D
81.5ADR
48%Headshot %

Clutches & streaks

38%1v1 clutch win
26%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage9648%1.0515.7
Inferno7154%0.9314.5
Dust25052%1.1215.8
Anubis3762%1.1616.4
Train2050%1.0118.5
Ancient1771%1.0013.9
Nuke1560%1.2816.3
Cache1136%0.8214.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.5%Headshot accuracy
36.8%Accuracy (enemy spotted)
33.9%Spray accuracy
76.1%Counter-strafing
9.7°Preaim
514msReaction time
47.7%T opening success
46.5%CT opening success
0.69Enemies flashed / flash
12.5%Flash assists
6.54HE damage / grenade
6.30Flashes / match

Recommended for you

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
office7–13-0.0320%8 Oct →
italy7–130.026%7 Oct →
office13–100.1412%7 Oct →
vertigo1–13-0.0113%7 Oct →
inferno13–9-0.0112%7 Oct →
cache11–130.0024%7 Oct →
inferno2–13-0.0127%7 Oct →
mirage5–130.0020%3 Oct →
italy13–7-0.070%1 Oct →
office5–13-0.1033%1 Oct →
dust25–13-0.0429%1 Oct →
debris3–9-0.1117%1 Oct →
cache5–130.1033%1 Oct →
mirage11–130.0219%1 Oct →
cache2–13-0.0138%30 Sept →
mirage5–130.0129%30 Sept →
inferno13–00.0526%30 Sept →
cache12–120.0918%27 Sept →
ancient9–13-0.0621%25 Sept →
nuke13–30.0613%25 Sept →
inferno13–10-0.0314%25 Sept →
nuke16–13-0.0312%25 Sept →
inferno13–8-0.0111%24 Sept →
inferno14–16-0.0517%23 Sept →
mirage13–11-0.0623%23 Sept →
dust28–130.0333%23 Sept →
vertigo12–12-0.0137%23 Sept →
dust213–00.1424%23 Sept →
vertigo13–30.0227%23 Sept →
vertigo11–130.1922%23 Sept →
mirage9–130.0219%16 Sept →
cache13–70.0221%13 Sept →
overpass5–13-0.0516%13 Sept →
anubis13–30.0133%13 Sept →
ancient7–13-0.1112%13 Sept →
dust213–10-0.0131%13 Sept →
office4–130.0745%12 Sept →
cache13–40.1238%12 Sept →
dust213–10-0.0213%12 Sept →
cache13–50.1214%10 Sept →
anubis4–13-0.0625%10 Sept →
dust213–7-0.0127%10 Sept →
mirage13–8-0.0020%10 Sept →
nuke0–11-0.0722%10 Sept →
inferno1–13-0.0510%10 Sept →
cache13–9-0.0527%10 Sept →
ancient12–120.0617%10 Sept →
inferno6–13-0.0314%9 Sept →
cache1–6-0.0215%8 Sept →
overpass0–7-0.0313%8 Sept →
office7–130.0367%8 Sept →
mirage13–8-0.0314%7 Sept →
anubis4–13-0.040%7 Sept →
vertigo5–130.0421%7 Sept →
inferno12–12-0.0221%7 Sept →
mirage13–6-0.0215%7 Sept →
office13–6-0.0422%7 Sept →
dust23–80.0615%7 Sept →
overpass2–80.0220%6 Sept →
cache5–13-0.0335%6 Sept →
anubis16–120.0021%6 Sept →
mirage8–13-0.0413%6 Sept →
anubis15–15-0.0518%6 Sept →
inferno13–11-0.0412%6 Sept →
inferno10–13-0.029%6 Sept →
office6–13-0.0312%5 Sept →
overpass13–100.0115%5 Sept →
cache13–60.0122%5 Sept →
dust216–13-0.0330%5 Sept →
ancient15–150.0314%5 Sept →
mirage15–150.0723%5 Sept →
nuke13–80.0217%5 Sept →
dust22–13-0.0014%5 Sept →
inferno13–110.017%4 Sept →
mirage6–13-0.0532%4 Sept →
anubis3–13-0.0336%4 Sept →
cache11–130.0019%4 Sept →
vertigo1–9-0.140%3 Sept →
office13–7-0.0921%3 Sept →
inferno5–130.0414%3 Sept →
office6–130.0625%3 Sept →
office9–130.1029%3 Sept →
cache13–2-0.029%3 Sept →
dust213–90.0226%3 Sept →
mirage3–7-0.0424%3 Sept →
dust211–13-0.0115%3 Sept →
dust213–4-0.0428%3 Sept →
cache15–150.038%2 Sept →
dust213–11-0.0127%2 Sept →
inferno13–8-0.0118%2 Sept →
cache13–20.0325%2 Sept →
dust213–80.0222%2 Sept →
ancient10–130.000%1 Sept →
vertigo8–80.0332%1 Sept →
cache10–13-0.0330%31 Aug →
vertigo9–70.0240%31 Aug →
overpass11–130.0234%31 Aug →
mirage4–13-0.0231%30 Aug →
inferno13–9-0.0215%30 Aug →
dust212–12-0.0529%30 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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